sybil (version 2.0.0)

writeProb-methods: Write Problem Object to File

Description

Write problem object to file (e.g. in lp format).

Usage

# S4 method for optObj_clpAPI,character
writeProb(lp, fname, ff = "lp")
# S4 method for optObj_cplexAPI,character
writeProb(lp, fname, ff = "lp")
# S4 method for optObj_glpkAPI,character
writeProb(lp, fname, ff = "lp", ...)
# S4 method for optObj_lpSolveAPI,character
writeProb(lp, fname, ff = "lp", ...)

Arguments

lp

An object extending class '>optObj.

fname

A single character string giving the file name to write to.

ff

A single character string giving the file format to use, see Details. Default: "lp".

...

Further arguments passed to the corresponding API routine.

Methods

signature(lp = "optObj_clpAPI", fname = "character")

method to use with package optObj_clpAPI. Argument ff is not used here.

signature(lp = "optObj_cplexAPI", fname = "character")

method to use with package optObj_cplexAPI.

signature(lp = "optObj_glpkAPI", fname = "character")

method to use with package optObj_glpkAPI.

signature(lp = "optObj_lpSolveAPI", fname = "character")

method to use with package optObj_lpSolveAPI.

Details

Argument "ff" is unused with clpAPI. Valid values for cplexAPI and lpSolveAPI are available in their documentations. For glpkAPI, argument "ff" can be "lp" for LP file format, "mps" for MPS file format or "glpk" for GLPK file format.

See Also

Superclass '>optObj and constructor function optObj. Method to read problem objects: readProb

Examples

# NOT RUN {
	
# }
# NOT RUN {
		# In very rare cases it is handy to save a sysBiolAlg-object:

		library(sybil)
		data(Ec_core)
		# create a sysBiolAlg object (we use here GLPK (!))
		prob <- sysBiolAlg(Ec_core, algorithm = "fba", solver="glpkAPI")
		
		# write the R-object to disc
		save(file="prob.RData",prob)
		
		# now write the linear program part (managed by the solver) to disc
		writeProb(prob@problem, fname="prob.lp", ff="lp")

		# start new R session

		library(sybil)
		library(glpkAPI)
		load("prob.RData") # restore the R-object
		prob@problem@oobj <- initProbGLPK() # initialize a new linear program
		readProb(problem(prob), fname="prob.lp") # load the previously saved linear program
	
# }